What this category of data looks like
This category of data is primarily sourced from official normative documents and industry announcements released by the National Energy Administration and energy authorities of various provinces and municipalities. Update frequency aligns with the release of national and local new energy development-related policies, with no fixed cycle. Most documents use PDF or Word formats. Their structure includes issuing authority, document number, release date, applicable scope, specific clauses, and supporting regulations. Covered fields include policy category, effective time, constraint conditions, and execution standards. Content is mostly long-form text, with a large volume of technical terms and abbreviations. FastGPT v4.17.0 supports batch parsing and synchronization for this type of document.
Constraints on Knowledge Base Retrieval and Recall
Official document formats are inconsistent. Some documents contain redundant header and footer content, which disrupts the accuracy of text segmentation and vectorization. Single policy documents have lengthy content. Retrieving too many long texts in one search will exceed context window limits. Technical terms are densely concentrated. Ordinary semantic matching may produce association deviations, requiring improved precision for semantic recall. Policy updates follow no fixed cycle. A regular synchronization mechanism must be configured to ensure the timeliness of retrieved content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity | 0.75–0.85 | New energy policy documents have many technical terms. This range filters low-association results and balances recall precision and coverage |
limit | Top 8 entries | Single policy content is lengthy. Too many recalled entries will exceed the context window. 8 entries balance information density and window capacity |
searchMode | Semantic recall | Policy content relies on semantic association. Semantic recall matches the deep association of technical terms, adapting to professional document scenarios |
usingReRank | Enabled | Technical terms in new energy policies may cause deviations in initial recall. Reranking corrects the association order of initial results |
datasetSearchUsingExtensionQuery | Enabled | Policy documents have many abbreviations and their full forms. Extended queries cover more synonymous expressions, improving recall coverage |
collectionIds | Bind exclusive new energy policy dataset ID | Must be bound to the exclusive knowledge base for new energy development policies to avoid mixing retrieval results from other categories |
Three Common Configuration Mistakes
- Uploading a 190MB policy document triggers the error
offset is out of bounds. The cause is failure to adjust the knowledge base file upload size limit, exceeding the default threshold. - Enabling knowledge base association slows question-and-answer response times. The cause is setting too high a recall count and not enabling reranking optimization, leading to loading and processing large amounts of redundant text.
- Retrieval results include irrelevant people's livelihood policy content. The cause is failure to bind the exclusive new energy policy dataset ID, mixing data from other category knowledge bases.
How to Verify Configurations Are Correctly Applied
- Upload a single policy document larger than 100MB, confirm no
offset is out of boundserror appears, verifying that the file upload limit configuration is active. - Enter a professional question related to new energy development, check that the association scores of all retrieval results fall within the
0.75–0.85range, verifying the similarity threshold configuration. - Compare the order of retrieval results with and without
usingReRankenabled, confirming that the reranking function corrects deviations in initial recall. - Check the source tags of retrieval results, confirming that all results only come from the bound exclusive new energy policy dataset, with no content from other categories mixed in.
The values listed above are common starting points. Adjustments should be made based on specific samples and use cases.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.